T. Verma

MedicineEnvironmental ScienceNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment”.

Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment

American Journal of Neuroradiology(2022)10.3174/ajnr.a7473

N/A

0DataRank · unranked

22 citations

Julia Shatalov, T. Verma, Waverly Rose Brim, Harry Subramanian, Alexandria Brackett +10 more

Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac116

N/A

0DataRank · unranked

21 citations

Khaled Bousabarah, T. Verma, Marc von Reppert, Leon Jekel, Ayyüce Gordem +10 more

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac093

N/A

0DataRank · unranked

7 citations

Avery E Lum, Gabriel Cassinelli, Sara Merkaj, T. Verma, Tal Zeevi +18 more